CV

Contact Information

Name
Christopher Curtis
Position
PhD Researcher
Affiliation
Khoury College of Computer Sciences, Northeastern University
Lab
Civic AI Lab, advised by Saiph Savage
Email
curtis.ch@northeastern.edu
Location
Boston, MA
Profiles
ORCID · GitHub · LinkedIn · Twitter

Education

  • 2023 - In progress Boston, MA

    PhD, Computer Science

    Northeastern University

    GPA 3.92 / 4.00. Coursework: Deep Learning; Neural Mechanics of Concepts; Theory and Methods in HCI; Fundamentals of Platform Economy.

  • Boston, MA

    Graduate Certificate, Digital Platforms for Service Innovation

    Northeastern University

  • 2022 Boston, MA

    MS, Artificial Intelligence

    Northeastern University

    Coursework: Machine Learning; Data Mining Techniques; Information Retrieval; AI for Human-Computer Interaction; AI Ethics;

  • 2018

    BS, Applied Mathematics

    Stony Brook University

    Minor in Computer Science

  • 2016

    Honors College

    Westchester Community College

Experience

  • 2022 – Present

    PhD Researcher / Program Manager

    Civic AI Lab, Northeastern University

    Lead operations for multiple lab research projects, coordinate project workflows, and support lab administration and intern management. Developed research software and full-stack experimental platforms; taught recurring hands-on workshops on LLM application development.

  • 2022 – 2025

    Infantryman

    New York Army National Guard

    Served alongside graduate research, served as 11B in in U.S. Army Infantry Scout Platoon.

  • 2020 – 2022

    Freelance Software Developer

    Independent

    Built computational-geometry tools, drone-flight simulation physics and trajectory planning, and adversarial AI for strategy games.

  • 2018 – 2020

    Systems / Software Engineer

    Hewlett Packard Enterprise

    Rebuilt a modular automated testing framework and developed reporting and web-based visualizations for complex test results.

Honors & Affiliations

  • 2026

    Outstanding PhD Award Nominee

  • 2024 – 2025

    NSF NRT PEAR Fellow

    Northeastern University

    Interdisciplinary Platforms for Exchange and Allocation of Resources traineeship, supported by the National Science Foundation. Profile

  • 2024

    NSF IRES

    International Research Experience, Germany

    Selected for an international research experience in Germany.

  • 2024

    Global Partnership on AI (GPAI)

    Student mentorship

    International student mentorship through a lab initiative.

  • Research collaborations

    Northeastern, Microsoft, and UNAM

    Published collaborations spanning researchers at these institutions.

Teaching & Talks

  • 2025

    Positional Encoding: Past, Present, and Future

    Official tutorial, Advances in Neural Information Processing Systems (NeurIPS), Mexico City

    An official NeurIPS tutorial connecting mathematical foundations and modern methods in Transformer positional encoding, with reference code for learning and teaching position methods. Event · Slides · Code

  • Recurring

    GPT + React Workshop

    Hands-on workshop on LLM application development, Civic AI Lab, Northeastern University

    Public materials for a hands-on LLM application development workshop. Materials

Publications

  1. CIPHERGRID Benchmark: From Multimodal Rule Inference to Sequential Action. Christopher Curtis, Victor Fragoso, and Saiph Savage. Advances in Neural Information Processing Systems (NeurIPS), 2026 (accepted, forthcoming).
  2. A Culturally-Aware AI Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles. Carlos Toxtli, Christopher Curtis, and Saiph Savage. Proceedings of the ACM on Human-Computer Interaction (CSCW), 2024.
  3. Office-Mind AI: A Generative AI Tool for Gig Workers. Christopher Curtis, Seth Cooper, and Saiph Savage. ACM Collective Intelligence Conference, 2024.

Skills

  • AI & methodsTransformers, deep learning, information retrieval, statistics, computational geometry
  • LanguagesPython, TypeScript / JavaScript, C++, C#, Java
  • SystemsPyTorch, React, Node.js, databases, full-stack applications, cloud deployment